Available for Internships & Full-time Roles

Hi, I'm Belal Ragb Shaban

I am an

AI & Data Science Student

Aspiring AI & Data Science professional passionate about transforming raw data into intelligent, real-world solutions through Machine Learning and Deep Learning.

Core Stack:

Python SQL Scikit-learn Power BI

View Projects Contact Me

pipeline.py

import pandas as pd
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import accuracy_score
 
# Train intelligent ML model
model = RandomForestClassifier(n_estimators=100)
model.fit(X_train, y_train)
 
# Model evaluation & insights
accuracy = accuracy_score(y_test, preds)
print(f"Accuracy: {accuracy:.2%}")

High Accuracy ML Classification

DEPI Scholar AI & Data Science

Get To Know Me

About Me

Bridging the gap between raw data and actionable intelligence.

"I'm a final-year AI & Data Science student with a strong passion for transforming raw data into meaningful insights and intelligent solutions. My core focus lies in Machine Learning and Data Analysis, with a growing interest in applying Deep Learning techniques to solve real-world problems."

"I believe in the power of data-driven decision-making, and I'm constantly exploring new tools and technologies to build impactful, efficient solutions that bridge the gap between data and action."

Intelligent Modeling

Developing predictive classification and regression models using Scikit-learn and machine learning pipelines.

Actionable Analytics

Transforming complex datasets into clear, intuitive Power BI dashboards that guide strategic decisions.

Rigorous Data Engineering

Conducting robust exploratory data analysis, data cleaning, and feature engineering for high model fidelity.

View DEPI Training Get in Touch

Toolkit & Competencies

My Skills

A balanced fusion of technical data science expertise and analytical soft skills.

Technical Skills

Core programming, libraries, analytics, and business intelligence toolset.

Python

Primary Language

Core language for ML modeling, data structures, scripting, and automation.

SQL

Data Querying

Relational querying, data extraction, aggregation, joins, and database optimization.

Pandas

Data Wrangling

DataFrame manipulation, high-performance data cleaning, merging, and reshaping.

NumPy

Numerical Computation

Multi-dimensional array calculations, linear algebra, and mathematical operations.

Scikit-learn

Machine Learning

Classification, regression, clustering, model evaluation, and cross-validation pipelines.

Power BI

Business Intelligence

Interactive dashboard architecture, DAX measures, and stakeholder visualization.

Excel

Spreadsheets & EDA

Formulas, pivot tables, preliminary data exploration, and executive summaries.

Jupyter Notebook

Interactive Environment

Interactive experimentation, reproducible research, prototyping, and visualization.

Soft Skills

Interpersonal strengths enabling effective teamwork and problem resolution.

Problem Solving

Core Strength

Deconstructing complex challenges into structured, algorithmic, and data-driven steps.

Analytical Thinking

Methodical

Evaluating patterns, isolating biases, and drawing evidence-based inferences from datasets.

Teamwork

Collaborative

Thriving in cross-functional squads, peer programming, and community mentorship initiatives.

Communication

Clarity

Translating intricate machine learning outputs into clear insights for non-technical stakeholders.

Time Management

Execution

Prioritizing milestones, iterative delivery, and consistently meeting project deadlines.

Practical Implementations

Featured Projects

Real-world applications spanning Machine Learning, Data Analytics, and Recommendation Engines.

Machine Learning

Classification

Customer Churn Prediction

Built a machine learning model to predict customer churn using classification algorithms (Logistic Regression, Random Forest). Performed data cleaning, feature engineering, and exploratory data analysis to identify key churn indicators, achieving high prediction accuracy.

Compared Logistic Regression and Random Forest models
Feature engineering to pinpoint primary churn triggers
Handled class imbalance and performed metric evaluation

Python Scikit-learn Pandas Random Forest EDA

Business Intelligence

Analytics & BI

Sales Data Dashboard & Analysis

Developed an interactive Power BI dashboard to analyze sales performance across regions and time periods. Used Python (Pandas) for data preprocessing and extracted actionable business insights to support data-driven decision-making.

Multi-dimensional regional and temporal sales analytics
Automated data cleaning and preprocessing via Pandas
Executive KPI tracking and actionable sales insights

Power BI Python Pandas DAX Data Preprocessing

Recommendation AI

Similarity Engine

Movie Recommendation System

Built a content-based recommendation system using Scikit-learn to suggest movies based on user preferences and similarity metrics. Applied data preprocessing and cosine similarity techniques on a real-world movie dataset.

Content-based filtering using vectorized movie metadata
Applied Cosine Similarity algorithms for tailored ranking
Tested and evaluated on real-world movie catalog data

Scikit-learn Python Cosine Similarity NLP Recommendation System

Professional Growth

Training & Programs

Rigorous professional development and industry-backed mentorship.

Current Program 2025 – Present

AI & Data Science Track

DEPI (Digital Egypt Pioneers Initiative)

Enrolled in an intensive, government-backed AI & Data Science training program focused on practical, industry-relevant skills.

Hands-on Development: Building hands-on experience in Machine Learning, Data Analysis, and real-world project development.

Peer Collaboration & Mentorship: Collaborating with peers on data-driven problem-solving under professional mentorship.

Industry-Relevant Skills: Mastering cutting-edge ML frameworks, structured data wrangling, and production-grade pipelines.

Machine Learning Data Analysis Mentorship Real-World Projects DEPI Egypt

How I Add Value

Professional Services

Dedicated analytical and machine learning capabilities tailored to deliver business value.

Data Analysis & Visualization

Extracting clear, compelling narratives and actionable intelligence from complex multidimensional datasets through statistical exploration and visually engaging reporting.

Exploratory Data Analysis (EDA)
Statistical pattern identification
Visual business reporting

Machine Learning Model Development

Designing, training, and tuning predictive machine learning algorithms (classification, regression, and recommendation systems) to solve concrete real-world tasks.

Classification & Regression models
Hyperparameter tuning & validation
Evaluation & performance metrics

Data Cleaning & Preprocessing

Transforming messy, incomplete raw data into pristine, structured formats optimized for reliable downstream machine learning workflows and analytical pipelines.

Missing value & outlier handling
Feature engineering & encoding
Data normalization & scaling

Dashboard Creation (Power BI)

Building interactive, user-friendly Power BI dashboards that empower stakeholders with real-time KPI tracking and high-impact visual decision intelligence.

Interactive Power BI dashboards
Custom DAX calculations & measures
Regional & temporal KPI tracking

Career Objective

Looking Ahead to the Future

"Seeking to grow as a Data Scientist / Machine Learning Engineer, contributing to impactful, data-driven projects while continuously expanding my expertise in AI to solve real-world challenges and deliver measurable value."

Belal Ragb Shaban AI & Data Science Student | DEPI Trainee

Collaborate With Me

Get In Touch

Let's Connect

Interested in collaborating or discussing opportunities? Reach out anytime!

Direct Channels

Feel free to connect directly via LinkedIn, GitHub, email, or WhatsApp:

LinkedIn belal165160

GitHub ms2139791-hub

Email ms2139791@mail.com

Phone & WhatsApp +20 111 745 4981

Send a Message

Fill out this quick form and I will get back to you promptly.

Your Name *

Please enter your name.

Your Email *

Please enter a valid email address.

Subject *

Please provide a subject.

Message *

Please write your message.